New E-Learning opportunities based Artificial Neural Networks for Mobility impairments
DOI:
https://doi.org/10.31642/JoKMC/2018/010806Keywords:
(HCI), E-Learning, Human- ComputerAbstract
E-learning is becoming globally widespread and more common. The usefulness of interactive systems in e-learning lies not in performing the processing task itself but in communicating requests and results between the system and its user. Therefor the E-Learning can offer great chances to students with disabilities that can access its application through an alternative channel using Human- Computer interaction (HCI) methods. This paper tries to review the various methods of (HCI) used for mobility disabilities and implement one of these methods using Electrooculography (EOG) signals to write using a virtual keyboard.
Downloads
References
Teresa Chambel, Pedro Antunes, Carlos Duarte, Luís Carriço, and Nuno Guimarães, 2007,“Teaching Human-Computer Interaction to Blind Students” , University of Lisbon,.
Chen, S. Y. & Chiu, M. L., 2005, “Building an Agent-Based System for e-Learning in Digital Design”, Computer-Aided Design Applications, Vol. 2. DOI: https://doi.org/10.1080/16864360.2005.10738396
Xirong M., Rong W. and Jinglian L., 2008, “The e-Learning System Model Based on Affective Computing”, Seventh International Conference on Web-based Learning.
William H., 2006, “E-Learning by Design”, Published by Pfeiffer, an Imprint of Wiley.
Marina B., 2010, “E-learning”, Published by In-The.
Evastina Björk, Stig Ottosson ,and Sigrun Thorsteinsdottir, 2008, “E-leaning for all”, Nova Science Publishers Inc.
Dina Sandker, and Nancy Yost, 2008, “Mobility Impairments and the use of Technology”, Lesley University.
Dr. Virendra G., 2009, “Effective Use of HCI in e-Learning”, Department of Information Technology, College of Applied Sciences, Oman.
J. del R. Millán, 2003, "Brain-Computer Interface", In "The Handbook of
Brain Theory and Neural Networks", (ed. M. A. Arbib), 2nd Edition, MIT
press, England.
J. B. Ochoa, 2002, "EEG Signal Classification for Brain Computer Interface
Application", Ecole Polytechnique Federale De Lausanne (EPFL).
M. Teplan, 2002, "Fundamentals of EEG Measurement", measurement science review, Vol. 2, section 2.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 Salim M Al-Wasity
This work is licensed under a Creative Commons Attribution 4.0 International License.
which allows users to copy, create extracts, abstracts, and new works from the Article, alter and revise the Article, and make commercial use of the Article (including reuse and/or resale of the Article by commercial entities), provided the user gives appropriate credit (with a link to the formal publication through the relevant DOI), provides a link to the license, indicates if changes were made and the licensor is not represented as endorsing the use made of the work.